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Broxy

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Herramientas para Desarrolladores
Desarrollo de API
Despliegue y DevOps

Fronts multiple upstream Model Context Protocol servers as one, aggregating capabilities across protocols, and exposing only what presets allow.

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Broxy serves as a unified endpoint for multiple Model Context Protocol (MCP) servers, streamlining the management and utilization of AI agent capabilities. It consolidates tools, prompts, and resources from diverse servers into purpose-built presets, helping optimize agent efficiency and reduce token costs by exposing only essential functionalities. Running locally with secure internet access and supporting OAuth, Broxy also bridges compatibility gaps, enabling HTTP-only clients like ChatGPT to connect seamlessly with local STDIO MCP servers.

Características Principales

01Centralize and manage diverse MCP servers (STDIO, HTTP, SSE, WebSocket) from a single interface.
02Build custom, focused presets by mixing tools, prompts, and resources from any connected server.
03Securely bridge local MCP servers to remote clients (e.g., ChatGPT) via cloud connectivity.
04Auto-configure popular AI clients across HTTP, SSE, and STDIO modes with one-click setup.
050 GitHub stars
06Support dynamic client registration with OAuth for servers requiring personal data, even for clients lacking OAuth support.

Casos de Uso

01Consolidate and manage multiple MCP server connections, providing a stable and adaptable interface for various client needs.
02Connect HTTP-only clients (like ChatGPT) to local STDIO MCP servers, expanding accessibility for private tools.
03Optimize AI agent performance and cost by curating specific, minimal toolsets for individual tasks.